Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems

doi:10.1007/s11633-021-1279-y

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	Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems
	Jia-Xi Chen; Jun-Min Li
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2021
卷号	18 期号:5 页码:826-837
摘要	Using graph theory, matrix theory, adaptive control, fuzzy logic systems and other tools, this paper studies the leader-follower global consensus of two kinds of stochastic uncertain nonlinear multi-agent systems (MAS). Firstly, the fuzzy logic systems replaces the feedback compensator as the feedforward compensator to describe the uncertain nonlinear dynamics. Secondly, based on the network topology, all followers are divided into two categories: One is the followers who can obtain the leader signal, and the other is the follower who cannot obtain the leader signal. Thirdly, based on the adaptive control method, distributed control protocols are designed for the two types of followers. Fourthly, based on matrix theory and stochastic Lyapunov stability theory, the stability of the closed-loop systems is analyzed. Finally, three simulation examples are given to verify the effectiveness of the proposed control algorithms.
关键词	Fuzzy logic systems stochastic nonlinear multi-agent systems (MAS) consensus algorithm adaptive control
DOI	10.1007/s11633-021-1279-y
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/45466
专题	学术期刊_Machine Intelligence Research
作者单位	School of Mathematics and Statistics, Xidian University, Xi′an 710071, China
推荐引用方式 GB/T 7714	Jia-Xi Chen,Jun-Min Li. Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems[J]. International Journal of Automation and Computing,2021,18(5):826-837.
APA	Jia-Xi Chen,&Jun-Min Li.(2021).Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems.International Journal of Automation and Computing,18(5),826-837.
MLA	Jia-Xi Chen,et al."Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems".International Journal of Automation and Computing 18.5(2021):826-837.

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